Azure Data Factory vs Unifi comparison

Microsoft and Unifi Software are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Unifi Software is ranked #59. Microsoft holds a 5.2% mindshare in DI, compared to Unifi Software’s 0.5% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Unifi Software users who would recommend it.

Azure Data Factory

Read 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

Unifi

Read 2 Unifi reviews

698 Views
419 Comparison Views

100% willing to recommend

Azure Data Factory

Unifi

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Executive SummaryUpdated on Dec 19, 2024

Unifi and Azure Data Factory compete in data integration. Azure Data Factory holds an advantage due to its robust features.

Features: Unifi offers simplicity, an intuitive design, and seamless data integration. Azure Data Factory provides a comprehensive toolset for complex integration, supports hybrid environments, and excels in cloud operations.

Ease of Deployment and Customer Service: Unifi provides straightforward deployment and responsive support, suitable for rapid implementation. Azure Data Factory presents a complex setup with extensive Microsoft resources and support, offering robust solutions for challenging deployments.

Pricing and ROI: Unifi offers competitive pricing with good ROI for simple tasks. Azure Data Factory requires a higher setup cost but delivers a strong return with scalability and advanced features.

To learn more, read our detailed Azure Data Factory vs. Unifi Report (Updated: September 2025).

Buyer's Guide

Azure Data Factory vs. Unifi

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Unifi

Ranking in Data Integration

59th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Governance (45th), Data Preparation Tools (12th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of Unifi is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
Unifi	0.5%
Other	94.3%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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Doug Isabelle

Owner at Doc-IT

Good management and pricing but not great for enterprise environments

In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I like the basic features like the data-based pipelines."

"The trigger scheduling options are decently robust."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"Powerful but easy-to-use and intuitive."

"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."

"The data flows were beneficial, allowing us to perform multiple transformations."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

More Azure Data Factory pros

"It's easy to manage and support the user, our guests, and our customers if they have a problem."

"The controller makes it easy to control everything from one platform. The management is easy."

Cons

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

"There is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"There aren't many third-party extensions or plugins available in the solution."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."

More Azure Data Factory cons

"It's stable, but it depends on the office and location."

"There are issues with certain Apple devices."

Pricing and Cost Advice

"The cost is based on the amount of data sets that we are ingesting."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"I don't see a cost; it appears to be included in general support."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"This is a cost-effective solution."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"The solution is cheap."

More Azure Data Factory pricing and cost advice

"There is no license. The solution is free."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

No data available

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

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How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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Comparisons

Snowflake vs Azure Data Factory

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 6% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

MuleSoft Anypoint Platform vs Unifi

Compared 34% of the time

Spring Cloud Data Flow vs Unifi

Compared 34% of the time

ibi DataMigrator vs Unifi

Compared 32% of the time

More Unifi Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

September 2025

Download Unifi product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

The Unifi Data Platform breaks down the barriers of operational data silos and democratizes information across the enterprise. At the heart of the platform is a comprehensive suite of self-service data discovery and preparation tools to empower business users. Employing machine learning and artificial intelligence technologies, and optimized for the cloud, Unifi predicts what the business user wants to visualize and then connects the resulting data natively to the BI tool for fast, accurate results.

Unifi Software

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.

Buyer's Guide

Azure Data Factory vs. Unifi

September 2025

Free Report: Azure Data Factory vs. Unifi

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